Innovations in genomics and big data analytics for personalized medicine and health care: A review M Hassan, FM Awan, A Naz, EJ deAndrés-Galiana, O Alvarez, A Cernea, ... International journal of molecular Sciences 23 (9), 4645, 2022 | 86 | 2022 |
Adherence to a Mediterranean diet influences the fecal metabolic profile of microbial-derived phenolics in a Spanish cohort of middle-age and older people I Gutierrez-Diaz, T Fernandez-Navarro, N Salazar, B Bartolome, ... Journal of agricultural and food chemistry 65 (3), 586-595, 2017 | 75 | 2017 |
NK-cell editing mediates epithelial-to-mesenchymal transition via phenotypic and proteomic changes in melanoma cell lines L Huergo-Zapico, M Parodi, C Cantoni, C Lavarello, ... Cancer research 78 (14), 3913-3925, 2018 | 62 | 2018 |
Detection of breast cancer using infrared thermography and deep neural networks FJ Fernández-Ovies, E Santiago Alférez-Baquero, EJ de Andrés-Galiana, ... Bioinformatics and Biomedical Engineering: 7th International Work-Conference …, 2019 | 54 | 2019 |
Supervised classification by filter methods and recursive feature elimination predicts risk of radiotherapy-related fatigue in patients with prostate cancer LN Saligan, JL Fernández-Martínez, EJ deAndrés-Galiana, S Sonis Cancer Informatics 13, CIN. S19745, 2014 | 50 | 2014 |
mGluR5 mediates post-radiotherapy fatigue development in cancer patients LR Feng, JL Fernández-Martínez, KJM Zaal, EJ deAndrés-Galiana, ... Translational Psychiatry 8 (1), 110, 2018 | 33 | 2018 |
Design of biomedical robots for phenotype prediction problems EJ deAndrés-Galiana, JL Fernández-Martínez, ST Sonis Journal of Computational Biology 23 (8), 678-692, 2016 | 32 | 2016 |
Genomic risk prediction of aromatase inhibitor‐related arthralgia in patients with breast cancer using a novel machine‐learning algorithm RE Reinbolt, S Sonis, CD Timmers, JL Fernández‐Martínez, A Cernea, ... Cancer medicine 7 (1), 240-253, 2018 | 28 | 2018 |
MMP11 expression in intratumoral inflammatory cells in breast cancer N Eiro, S Cid, B Fernández, M Fraile, A Cernea, R Sánchez, ... Histopathology 75 (6), 916-930, 2019 | 27 | 2019 |
On the role of artificial intelligence in genomics to enhance precision medicine Ó Álvarez-Machancoses, EJ DeAndres Galiana, A Cernea, ... Pharmacogenomics and personalized medicine, 105-119, 2020 | 26 | 2020 |
Genomic data integration in chronic lymphocytic leukemia JL Fernández‐Martínez, EJ deAndrés‐Galiana, ST Sonis The journal of gene medicine 19 (1-2), e2936, 2017 | 25 | 2017 |
Sensitivity analysis of gene ranking methods in phenotype prediction EJ deAndrés-Galiana, JL Fernández-Martínez, ST Sonis Journal of Biomedical Informatics 64, 255-264, 2016 | 25 | 2016 |
On the prediction of Hodgkin lymphoma treatment response EJ deAndrés-Galiana, JL Fernández-Martínez, O Luaces, JJ del Coz, ... Clinical and Translational Oncology 17, 612-619, 2015 | 23 | 2015 |
Sampling defective pathways in phenotype prediction problems via the Holdout sampler JL Fernández-Martínez, A Cernea, EJ deAndrés-Galiana, ... Bioinformatics and Biomedical Engineering: 6th International Work-Conference …, 2018 | 19 | 2018 |
Sampling defective pathways in phenotype prediction problems via the Fisher’s ratio sampler A Cernea, JL Fernández-Martínez, EJ deAndrés-Galiana, ... Bioinformatics and Biomedical Engineering: 6th International Work-Conference …, 2018 | 19 | 2018 |
Relationship of mitochondrial enzymes to fatigue intensity in men with prostate cancer receiving external beam radiation therapy K Filler, D Lyon, N McCain, J Bennett Jr, JL Fernández-Martínez, ... Biological Research for Nursing 18 (3), 274-280, 2016 | 19 | 2016 |
A predictive algorithm to identify genes that discriminate individuals with fibromyalgia syndrome diagnosis from healthy controls N Lukkahatai, B Walitt, EJ Deandrés-Galiana, JL Fernández-Martínez, ... Journal of pain research, 2981-2990, 2018 | 15 | 2018 |
Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems EJ deAndrés-Galiana, JL Fernández-Martínez, O Luaces, JJ Del Coz, ... Journal of biomedical informatics 60, 342-351, 2016 | 15 | 2016 |
Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches EJ deAndrés-Galiana, G Bea, JL Fernández-Martínez, LN Saligan Computers in Biology and Medicine 115, 103492, 2019 | 14 | 2019 |
Impact of microarray preprocessing techniques in unraveling biological pathways EJ Deandrés-Galiana, JL Fernández-Martínez, LN Saligan, ST Sonis Journal of Computational Biology 23 (12), 957-968, 2016 | 12 | 2016 |